Clinical Research Directory

Predicting Platelet Count From Viscoelastic Testing

Sponsor: Kepler University Hospital

Summary

Viscoelastic testing is a highly recommended cornerstone of modern coagulation medicine, reducing transfusion needs. A disadvantage of viscoelastic tests is the impossibility of making a definitive statement about the platelet count. Therefore, the aim of this retrospective observational study is, on the one hand, to predict the platelet count based on standard ROTEM parameters with the help of several machine learning methods and, on the other hand, to detect a low platelet count ( \<100000 ml-1 and \< 50000 ml-1).

Official title: Machine Learning Based Prediction of Platelet Concentration From ROTEM Measurements

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